IBM Cognos Analytics Features
Reports (5)
Reports Interface
Based on 204 IBM Cognos Analytics reviews and verified by the G2 Product R&D team. Reports interface for standard and self-service reports is intuitive and easy to use.
Steps to Answer
Based on 163 IBM Cognos Analytics reviews and verified by the G2 Product R&D team. Requires a minimal number of steps/clicks to answer business question.
Graphs and Charts
Based on 193 IBM Cognos Analytics reviews and verified by the G2 Product R&D team. Offers a variety of attractive graph and chart formats.
Score Cards
Based on 144 IBM Cognos Analytics reviews and verified by the G2 Product R&D team. Score cards visually track KPI's.
Dashboards
Based on 187 IBM Cognos Analytics reviews and verified by the G2 Product R&D team. Provides business users an interface to easily design, refine and collaborate on their dashboards
Self Service (6)
Calculated Fields
Based on 176 IBM Cognos Analytics reviews and verified by the G2 Product R&D team. Using formulas based on existing data elements, users can create and calculate new field values.
Data Column Filtering
Based on 193 IBM Cognos Analytics reviews and verified by the G2 Product R&D team. Business users have the ability to filter data in a report based on predefined or automodeled parameters.
Data Discovery
Based on 177 IBM Cognos Analytics reviews and verified by the G2 Product R&D team. Users can drill down and explore data to discover new insights.
Search
Based on 164 IBM Cognos Analytics reviews and verified by the G2 Product R&D team. Ability to search global data set to find and discover data.
Collaboration / Workflow
Based on 159 IBM Cognos Analytics reviews and verified by the G2 Product R&D team. Ability for users to share data and reports they have built within the BI tool and outside the tool through other collaboration platforms.
Automodeling
Based on 126 IBM Cognos Analytics reviews and verified by the G2 Product R&D team. Tool automatically suggests data types, schemas and hierarchies.
Advanced Analytics (3)
Predictive Analytics
Based on 130 IBM Cognos Analytics reviews and verified by the G2 Product R&D team. Analyze current and historical trends to make predictions about future events.
Data Visualization
Based on 166 IBM Cognos Analytics reviews and verified by the G2 Product R&D team. Communicate complex information clearly and effectively through advanced graphical techniques.
Big Data Services
Based on 118 IBM Cognos Analytics reviews and verified by the G2 Product R&D team. Ability to handle large, complex, and/or siloed data sets.
Building Reports (4)
Data Transformation
Based on 122 IBM Cognos Analytics reviews and verified by the G2 Product R&D team. Converts data formats of source data into the format required for the reporting system without mistakes.
Data Modeling
Based on 120 IBM Cognos Analytics reviews and verified by the G2 Product R&D team. Ability to (re)structure data in a manner that allows extracting insights fast and accurate.
WYSIWYG Report Design
Based on 106 IBM Cognos Analytics reviews and verified by the G2 Product R&D team. Provides business users an interface to easily design and refine their dashboards and reports. (What You See Is What You Get)
Integration APIs
Based on 91 IBM Cognos Analytics reviews and verified by the G2 Product R&D team. Application Programming Interface - Specification for how the application communicates with other software. API's typically enable integration of data, logic, objects, etc with other software applications.
Statistical Tool (1)
Scripting
Based on 31 IBM Cognos Analytics reviews. Supports a variety of scripting environments
Data Analysis (2)
Analysis
Analyzes both structured and unstructured data This feature was mentioned in 33 IBM Cognos Analytics reviews.
Data Interaction
Based on 33 IBM Cognos Analytics reviews. Interacts with data to prepare it for visualizations and models
Decision Making (4)
Modeling
Based on 31 IBM Cognos Analytics reviews. Offers modeling capabilities
Data Visualizations
As reported in 33 IBM Cognos Analytics reviews. Creates data visualizations or graphs
Report Generation
Based on 33 IBM Cognos Analytics reviews. Generates reports of data performance
Data Unification
As reported in 31 IBM Cognos Analytics reviews. Unifies information on a singular platform
Data Preparation (2)
Connectors
Based on 72 IBM Cognos Analytics reviews and verified by the G2 Product R&D team. Ability to connect the analytics platform with a wide range of connector options for common data sources, including popular enterprise applications.
Data Governance
Based on 72 IBM Cognos Analytics reviews and verified by the G2 Product R&D team. Connects to enterprise data governance software, or provides integrated data governance features to avoid misuse of data
Data Modeling and Blending (3)
Data Querying
Based on 77 IBM Cognos Analytics reviews and verified by the G2 Product R&D team. Using formulas based on existing data elements, users can create and calculate new field values
Data Filtering
Based on 77 IBM Cognos Analytics reviews and verified by the G2 Product R&D team. Business users have the ability to filter data in a report based on predefined or automodeled parameters.
Data Blending
Based on 73 IBM Cognos Analytics reviews and verified by the G2 Product R&D team. Allows the user to combine data from multiple sources into a functioning dataset.
Generative AI (4)
AI Text Generation
Allows users to generate text based on a text prompt. This feature was mentioned in 36 IBM Cognos Analytics reviews.
AI Text Summarization
Based on 37 IBM Cognos Analytics reviews. Condenses long documents or text into a brief summary.
AI Text Generation
Based on 17 IBM Cognos Analytics reviews. Allows users to generate text based on a text prompt.
AI Text Summarization
Condenses long documents or text into a brief summary. 17 reviewers of IBM Cognos Analytics have provided feedback on this feature.
Agentic AI - Analytics Platforms (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Deployment & Integration - Analytics Platforms (4)
No-code Dashboard Builder
Enables non-technical users to build dashboards through intuitive, drag-and-drop interfaces
Report Scheduling and Automation
Enables automated report generation and scheduled delivery to stakeholders
Embedded Analytics and White-labeling
Allows dashboards and analytics to be embedded into external apps with branding flexibility
Data Source Connectivity
Supports integration with major data sources like cloud data warehouses, SQL/NoSQL databases, and SaaS applications
Performance & Scalability - Analytics Platforms (2)
Large data handling and Query Speed
Efficiently processes large datasets with minimal lag and ensures high performance under load
Concurrent User Support
Maintains performance and uptime during high traffic from multiple users or teams
Advanced Analytics & Modeling - Analytics Platforms (3)
Data Modeling and Governance
Supports semantic data layers, role-based access controls, and metadata governance
Notebook and Script Integration
Integrates with Jupyter, Python, or R for custom analytics and modeling
Built-in Predictive and Statistical Models
Provides native tools for statistical analysis, forecasting, and trend prediction
Agentic AI Capabilities - Analytics Platforms (4)
Auto-generated Insights and Narratives
Uses AI to generate textual summaries, key takeaways, and data stories from dashboards
Natural Language Queries
Allows users to query data and build reports using conversational or plain language
Proactive KPI Monitoring and Alerts
Detects and notifies users about KPI anomalies or significant metric changes in real time
AI Agents for Analytical Follow-ups
Recommends next questions, analyses, or exploration paths using autonomous AI agents
Personalized Intelligence - Analytics Platforms (3)
Behavioral Learning for Contextual Query Refinement
Learns from historical user interactions to improve and personalize query results over time
Role-based Insight Personalization
Tailors dashboard views and suggestions based on user roles, access levels, and past behavior
Conversational and Prompt-based Analytics
Supports AI-driven exploration via prompts or multi-turn conversations for iterative querying
